PCA in 2 Dimensions; All images are generated by the author

Principal Components Analysis Explained

What it is, Why it’s useful, and How to use it

Why do we need PCA?

In real world data sets, many of our variables are unimportant or correlated with each other. If we are doing a supervised machine learning task, leaving in variables unrelated to our target variable lowers the signal to noise ratio in our training data, making…